Literature DB >> 21859609

Interaction of specialized cardiac conduction system with antiarrhythmic drugs: a simulation study.

Lydia Dux-Santoy1, Rafael Sebastian, Jose Felix-Rodriguez, Jose Maria Ferrero, Javier Saiz.   

Abstract

The use of antiarrhythmic drugs is common to treat heart rhythm disorders. Computational modeling and simulation are promising tools that could be used to investigate the effects of specific drugs on cardiac electrophysiology. In this paper, we study the multiscale effects of dofetilide, a drug that blocks IKr, from cellular to organ level paying special attention to its effect on heart structures, in particular the specialized cardiac conduction system (CCS). We include a model of the CCS in a patient-specific anatomical ventricular model and study the drug effects in simulations with and without a CCS. Results confirmed the expected effects of dofetilide at cellular level, increasing the action potential duration, and at organ level, prolonging the QT segment. Notable differences are shown between models with and without the CCS on action potential duration distributions. These techniques show the importance of heart heterogeneity and the global effects of the interaction of drugs with cardiac structures.

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Year:  2011        PMID: 21859609     DOI: 10.1109/TBME.2011.2165213

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  11 in total

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Authors:  Natalia A Trayanova; Kelly C Chang
Journal:  J Physiol       Date:  2016-01-18       Impact factor: 5.182

2.  Computational Models for Predictive Cardiac Ion Channel Pharmacology.

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Review 3.  Multiscale Modeling in the Clinic: Drug Design and Development.

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Journal:  Ann Biomed Eng       Date:  2016-02-17       Impact factor: 3.934

Review 4.  Advances in modeling ventricular arrhythmias: from mechanisms to the clinic.

Authors:  Natalia A Trayanova; Patrick M Boyle
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2013-12-06

Review 5.  Three-dimensional cardiac computational modelling: methods, features and applications.

Authors:  Alejandro Lopez-Perez; Rafael Sebastian; Jose M Ferrero
Journal:  Biomed Eng Online       Date:  2015-04-17       Impact factor: 2.819

Review 6.  The virtual heart as a platform for screening drug cardiotoxicity.

Authors:  Yongfeng Yuan; Xiangyun Bai; Cunjin Luo; Kuanquan Wang; Henggui Zhang
Journal:  Br J Pharmacol       Date:  2015-01-13       Impact factor: 8.739

Review 7.  Computational Modeling of Electrophysiology and Pharmacotherapy of Atrial Fibrillation: Recent Advances and Future Challenges.

Authors:  Márcia Vagos; Ilsbeth G M van Herck; Joakim Sundnes; Hermenegild J Arevalo; Andrew G Edwards; Jussi T Koivumäki
Journal:  Front Physiol       Date:  2018-09-04       Impact factor: 4.566

8.  A new approach to the intracardiac inverse problem using Laplacian distance kernel.

Authors:  Raúl Caulier-Cisterna; Sergio Muñoz-Romero; Margarita Sanromán-Junquera; Arcadi García-Alberola; José Luis Rojo-Álvarez
Journal:  Biomed Eng Online       Date:  2018-06-20       Impact factor: 2.819

9.  Computational assessment of drug-induced effects on the electrocardiogram: from ion channel to body surface potentials.

Authors:  Nejib Zemzemi; Miguel O Bernabeu; Javier Saiz; Jonathan Cooper; Pras Pathmanathan; Gary R Mirams; Joe Pitt-Francis; Blanca Rodriguez
Journal:  Br J Pharmacol       Date:  2013-02       Impact factor: 8.739

Review 10.  In silico models for evaluating proarrhythmic risk of drugs.

Authors:  Minki Hwang; Chul-Hyun Lim; Chae Hun Leem; Eun Bo Shim
Journal:  APL Bioeng       Date:  2020-06-04
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